Generic schedule


Pre-course: mathematical foundations


Monday

09:00 - 10:00 Welcome

10.00 - 10:45 Introductory lecture

11.00 - 12:00 Descriptive statistics (.presentation)

12:00 - 13:00 lunch

13:00 - 13.30 Probability: Introduction and discrete distributions

13.30 - 14.30 [Exercises](session-probability/docs/prob_exr1_discrv_solutions.html}

14.30 - 15.00 break

15:00 - 15:30 Probability: continuous distributions

13.30 - 16.30 Exercises

16.30 - 17.00 Daily challenge


Tuesday

09:00 - 09.30 Group discussions: recap of the previous day

09:30 - 10.00 Statistical inference: Hypothesis tests using resampling

10:00 - 10.45 Exercises

10:45 - 11.15 Statistical inference: Parametric tests

11:15 - 12.00 Exercises

12:00 - 13:00 lunch

13.00 - 13.30 Statistical inference: point and interval estimates

13.30 - 14.30 Exercises

14.30 - 15.00 break

15.00 - 16.30 Non parametric tests (.presentation)

16.30 - 17.00 Daily challenge


Wednesday

09:00 - 09.30 Group discussions: recap of the previous day

09:30 - 10:30 Linear models: introduction .presentation

10:30 - 11.00 Exercises

11:00 - 11:30 Linear models: understanding coefficients

12:00 - 13:00 lunch

13:00 - 13:30 Linear models: model summary and assumptions

13.30 - 14.30 Exercises

14.30 - 15.00 break

15.00 - 15.30 Generalized linear models

15.30 - 16.30 Exercises

16.30 - 17.00 Daily challenge


Thursday 2021-10-07

09:00 - 09.30 Group discussions: recap of the previous day

09.30 - 12.00 Principal Component Analysis

12:00 - 13:00 lunch

13.00 - 13.30 Clustering: k-means and hierarchical clustering

13.30-14.30 Exercises

14.30 - 15.00 break

15:00 - 15.30 Supervised learning .presentation

15.30 - 16.30 Exercises

16.30 - 17.00 Daily challenge


Friday 2021-10-08

09:00 - 09.30 Group discussions: recap of the previous day

09.30 - 12.00 Feature engineering & selection .presentation

12:00 - 13:00 lunch

13.00 - 13.30 Random Forest

13.30 - 14.30 Exercises

16.30 - 17.00 Daily challenge

14.30 - 16.00 Course wrap-up